Modeling the Dynamic Interaction of Hebbian and Homeostatic Plasticity
Open accessAbstract
Hebbian and homeostatic plasticity together refine neural circuitry, but their interactions are unclear. In most existing models, each form of plasticity directly modifies synaptic strength. Equilibrium is reached when the two are inducing equal and opposite changes. We show that such models cannot reproduce ocular dominance plasticity (ODP) because negative feedback from the slow homeostatic plasticity observed in ODP cannot stabilize the positive feedback of fast Hebbian plasticity. We propose a model in which synaptic strength is the product of a synapse-specific Hebbian factor and a postsynaptic-cell-specific homeostatic factor, with each factor separately arriving at a stable inactive state. This model captures ODP dynamics and has plausible biophysical substrates. We confirm model predictions experimentally that plasticity is inactive at stable states and that synaptic strength overshoots during recovery from visual deprivation. These results highlight the importance of multiple regulatory pathways for interactions of plasticity mechanisms operating over separate timescales.
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If the contribution of CaMKII to synaptic transmission were a net gain that simply adds onto the preexisting excitatory drive of the cell, the system would be unstable and quickly saturate.
“If this were the case, it has been argued that the system would be unstable and quickly saturate (366–371).”
From Synaptic memory and CaMKII (2023) · cites this paper as [370]
The Introduction says that Hebbian plasticity is a positive-feedback process whose synaptic weights are typically unstable until they reach saturation. The Results discuss CaMKII as a possible mechanism of Hebbian LTP, but do not establish that CaMKII adds a net gain to preexisting excitatory drive or that this specific arrangement would quickly saturate. (LLM, conf=0.83)
Experimental — accuracy not yet measuredThe existence of LTD avoids the problem of saturation, which could be essential for a mnemonic device.
“The existence of LTD avoids the problem of saturation, which could be essential for a mnemonic device (366–371).”
From Synaptic memory and CaMKII (2023) · cites this paper as [370]
The Results section on single-synapse models describes LTD and says that both LTP and LTD should saturate, but does not say that the existence of LTD prevents synaptic saturation. The Discussion’s “Functional significance” section links maintained dynamic range to learning and memory, attributing it to the interaction of Hebbian and homeostatic plasticity rather than to LTD alone. I searched for the proposed LTD–saturation–memory link; no passage in our copy establishes it. (LLM, conf=0.72)
Experimental — accuracy not yet measured
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- Authors
- Toyoizumi, T., Kaneko, M., Stryker, M. P., & Miller, K. D.
- Affiliations
- Tokyo Institute of Technology (JP)
- University of California, San Francisco (US)
- Columbia University (US)
- Corresponding author
- Toyoizumi, Taro
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2014-10
- Volume
- 84
- Issue
- 2
- Pages
- 497-510
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC4223656
- OpenAlex
- W2102744370
- Cited by
- 129
- References
- 11
- Citations by year
- 2026: 3 · 2025: 12 · 2024: 18 · 2023: 15 · 2022: 10 · 2021: 9 · 2020: 10 · 2019: 6 · 2018: 11 · 2017: 18 · 2016: 9 · 2015: 8
- FWCI
- 5.34
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute of Mental Health (T32MH089920)
- National Eye Institute (R01EY011001, R01-EY02874, EY11001, R01EY002874)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- Hebbian plasticity, homeostatic plasticity, ocular dominance plasticity, synaptic efficacy, visual deprivation, negative feedback, positive feedback, synaptic scaling, neural circuit refinement
- MeSH terms
- Animals, Feedback, Homeostasis, Male, Mice, Inbred C57BL, Models, Neurological, Neuronal Plasticity, Neurons, Synapses, Time Factors, Dominance, Ocular
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